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- llm-jp/llm-jp-1.3b-v1.0
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# llmjp-
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llmjp-slerp2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [kcoopermiller/llm-jp-1.3b-v1.0-aya](https://huggingface.co/kcoopermiller/llm-jp-1.3b-v1.0-aya)
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* [llm-jp/llm-jp-1.3b-v1.0](https://huggingface.co/llm-jp/llm-jp-1.3b-v1.0)
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## 🧩 Configuration
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```yaml
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slices:
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- sources:
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- model: kcoopermiller/llm-jp-1.3b-v1.0-aya
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layer_range: [0, 24]
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- model: llm-jp/llm-jp-1.3b-v1.0
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layer_range: [0, 24]
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merge_method: slerp
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base_model: llm-jp/llm-jp-1.3b-v1.0
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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```
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## 💻 Usage
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```python
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# llmjp-slerp
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llmjp-slerp2 is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
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* [kcoopermiller/llm-jp-1.3b-v1.0-aya](https://huggingface.co/kcoopermiller/llm-jp-1.3b-v1.0-aya)
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* [llm-jp/llm-jp-1.3b-v1.0](https://huggingface.co/llm-jp/llm-jp-1.3b-v1.0)
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## 💻 Usage
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```python
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